code: def test_wrapping_no_copy():
      tensor = torch.rand(3, 16, 16)
      image = tv_tensors.Image(tensor)
  
      assert image.data_ptr() == tensor.data_ptr()
  
imports: from copy import deepcopy
  import pytest
  import torch
  from common_utils import assert_equal, make_bounding_boxes, make_image, make_segmentation_mask, make_video
  from PIL import Image
  from torchvision import tv_tensors
label_desc: Use image node_id 8 for calling a global function with example usage: test_wrapping_no_copy() without return types